Investigating the potential role of innovation and clean energy in mitigating the ecological footprint in N11 countries

This paper seeks to explore the potential function of technological innovation and clean power in mitigating the ecological footprint in the N-11 nations during the phase 1992–2015 by applying panel cointegration analysis. The outcomes of the panel cointegration test signify the occurrence of a long-run relation among the clean energy (CE) variable, the ecological footprint (EF) variable, the per capita GDP (Y) variable, the financial development (FIN) variable, and technological innovation (TI) variable. The outcomes of the VECM signify a long-run causal relation from the ecological footprint (EF) variable to the clean energy (CE) variable, the GDP per capita (Y) variable, and technological innovation (TI) variable. This implies that the environmental degradation faced by the N-11 countries leads to shifting toward clean energy sources and technological innovation in the long run. Thus, the N-11 countries are in need to design policies that enhance shifting toward environmentally friendly energy sources.

The rise and fall of the energy-carbon Kuznets curve: evidence from Africa

PurposeThis paper provides an analysis of the energy-carbon Kuznets curve hypothesis (CKC) using a second-generation panel methodology.Design/methodology/approachSpecifically, the authors investigate whether energy consumption, natural resources and governance explain the CKC proposition. The study’s empirical strategy is based on the Westerlund panel cointegration test, augmented mean group (AMG) and vector autoregressive (VAR) panel Granger-causality tests.FindingsThe results suggest that the CKC hypothesis is incomplete without these mechanisms, as they play a critical role in reducing carbon emissions in Africa. The authors recommend improving the environmental standards and proper regulatory and monitoring systems to reduce carbon emissions and promote sustainable development in the continent.Originality/valueThe study revisits the CKC hypothesis with particular emphasis on governance and more robust empirical estimation techniques.

Revisiting Banking Stability Using a New Panel Cointegration Test

Using a new panel cointegration test that considers serial correlation and cross-section dependence on a mixed and heterogenous sample of Saudi banks, we revisit the cointegrating equation of the z-score index of banking stability. Our results show that even when we consider the cross-section dependency and serial correlation of the errors, there is a possibility of a long-run relationship, which holds in our sample of banks. Furthermore, in the medium term, we found some banks to be integrated, whereas others were non-cointegrated. We interpret this to suggest that some banks contribute to banking stability, whereas others do not. In other words, there exists at least one bank that acts as a destabilizer and the challenge for financial regulators is to identify which banks these are. However, the current version of the Hadri et al. test does not allow for the identification of the non-cointegrated banks. If the test was able to do that, the regulatory authorities would be able to develop corrective policies/measures specifically tailored to the non-cointegrated units.

Investigation of the Foreign Direct Investment and Environmental Pollution Nexus for Developing Countries

In theory, the foreign direct investment and environmental pollution nexus is explained by three hypotheses. Firstly, pollution haven hypothesis assumes that there is a positive nexus between these variables. Secondly, pollution halo hypothesis supposes that there is negative connection between these variables. Lastly, neutrality hypothesis asserts the non-existence of the connection between these variables. In recent years, many researchers have frequently tested whether these hypotheses are valid for different countries. In this study, applying Westerlund panel cointegration test, the authors aim to explore the nexus between foreign direct investment and environmental pollution for 23 developing countries after global crisis. For this aim, they use annual data covering the period 2009-2019. According to the obtained empirical findings, the presence of the long-term nexus between foreign direct investment and environmental pollution is not detected for 23 developing countries. Accordingly, the authors can say that there is neutrality hypothesis.

Drivers of agricultural productivity: Evidence from transforming economies

This study empirically investigates the drivers of agricultural productivity in transforming economy. The study used a 35-year period (1980–2014) panel data sourced from World Development Indicators, Penn World Table, United States Department of Agriculture and Statistics on Public Expenditure for Economic Development. Data used for the study include Agricultural Productivity (AP), Real Gross Domestic Product (GDP), Government Agricultural Expenditure (EXP), Agricultural Trade Barrier (ATB), Consumer Price Index (CPI), Farm Machinery (MACH), Fertiliser (FERT), Human Capital (HCAP) and Irrigation (IRRG). Data were analysed using Impulse Response Function, Levin-Lin-Chu unit root test, Johansen-Fisher Panel Cointegration test and Panel Least Squares regression technique. Impulse Response Function revealed that ln (GDP)reacted negatively to a shock from ln (Agricultural Productivity). Levin-Lin-Chu unit root test revealed that the variables were stationary either at level or at first difference. The result of the Johansen-Fisher panel cointegration test showed that for every case at 5 percent level of significance, we reject null hypothesis of no cointegration. Panel Least Squares revealed that Agricultural Trade Barrier (α = 0.0531, p < 0.05), Human Capital (α = 1.2409, p < 0.01) and Irrigation (α = 0.0771, p < 0.01) increased Agricultural Productivity. However, Fertilizer (α = −0.0730, p < 0.01) decreased Agricultural Productivity. This study therefore concluded that Agricultural Productivity will grow in transforming economy with trade restriction on imported agricultural tradable commodities, increased investment in human capital and expansion in irrigation application. The study therefore recommends measures that will protect domestic agriculture, capacity building of the farmers and improved irrigation infrastructure that will enhance small scale farmers for all-season cropping.

In Turkey, The Relationship of Agricultural Sector and Economic Variables: Panel Cointegration Analysis

That agricultural sector is examined closer from every point of view and is restructured in complied with the requirements of the age has to be structured comes to our face as a reality any longer accepted by every sector of the society. The various developments experienced in the world in the recent years have directly or indirectly affected agricultural sector. In the economy of Turkey, one of the countries attracting attention with its rapidly growing, there are many theoretical studies dealing with the direct or indirect contribution of agricultural sector. However, it is necessary to increase the number of the applied studies introducing the existing situation of the sector and enabling to develop the effective policies for the sector. For, it is highly important for the theories put forward in theoretical framework to be supported by empirical analyses in terms of forming effective policy suggestions. In the study, the three sub-sectors were considered such as the subsectors of cereal, legume, and fruit-vegetable and the existing situation of the sector was analyzed by moving from the macro variables. In order to identify the effects of macroeconomic variables (inflation, exchange rate, interest, monetary supply), selected in the direction of the aim of the study, panel cointegration test was utilized. Setting off from this point, when the analysis made in the study is examined for all sectors, it was identified that the variable affecting the sector the most was interest rate. When the results of panel cointegration test between interest rate and agricultural production were examined, while there was a negative directional relationship between the production of subsector “fruit vegetable” and the variable “interest” as expected, it attracts attention that there was a positive relationship between the subsector of cereal legume and interest in contrast to this.

Inflation-Unemployment Trade-Offs In ASEAN-10

This study empirically explores the nature of inflation-unemployment dynamic causal relationships both in the short and long-run in the ASEAN-10 over the 1989-2018 period. Based on the panel cointegration test, the study documented a long-run equilibrium between inflation and unemployment. Using the Vector Error Correction Model (VECM) analysis, the study found an insignificant inflation-unemployment relationship in the short-run. However, in the long-run, inflation is found to affect the unemployment rate positively. Our results from the Variance Decompositions (VDCs) analysis also supported these findings, where the unemployment responded at the more significant percentage to shocks in inflation compared to the response of inflation to shocks in unemployment. These findings only supported the relevance of the Phillips curve theory in the long-run. Overall, these findings imply that although inflation targeting policy is not relevant to the short-run, it becomes crucial and effective to reduce the unemployment rate in ASEAN-10 in the long-run.JEL Classifications: E52, E58, J64 How to Cite:Lisani, N., Masbar, R., & Silvia, V. (2020). Inflation-Unemployment Trade-Offs In Asean-10. Signifikan: Jurnal Ilmu Ekonomi, 9(2), 241-256. https://doi.org/10.15408/sjie.v9i2.16346.

Testing monetary exchange rate models with the Westerlund panel cointegration test

Time series testing of long-run monetary models of exchange rate determination in most cases fails to support the conjectures of the theory. The empirical literature increasingly uses the panel technique when testing monetary exchange rate models because the power of the panel unit root and panel cointegration tests seems higher than the pure time series tests. In this paper we examine the validity of the monetary exchange rate models over the period 1996Q1-2011Q4 for US dollar exchange rates of 15 OECD countries using Westerlund’s 2007 panel cointegration tests. We found moderate empirical support for monetary exchange rate models.